Manufacturing industry has paid more attention to the carbon footprint in the manufacturing process with an increasing focus on ecological environment. Also, optimum machining parameters are usually considered as an efficient solution for minimizing carbon footprint and processing time owing to their great role in process control. To make a better process parameter set, a novel multi-objective parameter decision approach called multi-objective grey wolf optimizer (MOGWO) is adopted to realize the decision process in gear hobbing. First, the problem of gear production is elaborated in detail and the characteristics of carbon footprint in light of hobbing process are synthetically analyzed; the carbon footprint model and processing time model are established subsequently. Second, a parameter decision approach for multi-objectives is presented followed by thorough optimization approach. Finally, a case study is put into practice for verifying the presented parameter decision-making scheme. The results demonstrate good hobbing process parameter solutions under the proposed decision approach, and it reveals a certain functional relationship between carbon footprint and processing time in view of the graphic display.

制造业越来越关注制造过程中的碳足迹，同时越来越关注生态环境。而且，由于最佳加工参数在过程控制中的重要作用，通常被认为是最小化碳足迹和加工时间的有效解决方案。为了获得更好的过程参数集，采用了一种新颖的多目标灰狼优化器（MOGWO）的多目标参数决策方法来实现滚齿的决策过程。首先，详细阐述了齿轮的生产问题，并根据滚齿工艺对碳足迹的特征进行了综合分析。随后建立了碳足迹模型和处理时间模型。第二，提出了一种用于多目标的参数决策方法，然后提出了全面的优化方法。最后，通过实例研究验证了所提出的参数决策方案。结果证明了在提出的决策方法下良好的滚齿工艺参数解决方案，并且从图形显示的角度揭示了碳足迹和处理时间之间的某种功能关系。